CGAP Smallholder Household Survey 2015, Building the Evidence Base on the Agricultural and Financial Lives of Smallholder Households
Uganda, 2015
Get Microdata
Reference ID
UGA_2015_SHS_v02_M
Producer(s)
Jamie Anderson
Metadata
Created on
Apr 15, 2016
Last modified
Apr 02, 2018
Page views
146014
Downloads
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I9. Province (I9)
Data file: cgap_smallholder_household_survey_uga_2015_multiple_feb_16
Overview
Valid:
5517
Invalid:
0
Type:
Discrete
Start:
30
End:
42
Width:
13
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABIM | 27 |
0.5%
|
|
| ADJUMANI | 25 |
0.5%
|
|
| AGAGO | 53 |
1%
|
|
| ALEBTONG | 38 |
0.7%
|
|
| AMOLATAR | 19 |
0.3%
|
|
| AMUDAT | 26 |
0.5%
|
|
| AMURIA | 40 |
0.7%
|
|
| AMURU | 21 |
0.4%
|
|
| APAC | 52 |
0.9%
|
|
| ARUA | 122 |
2.2%
|
|
| BUDAKA | 30 |
0.5%
|
|
| BUDUDA | 24 |
0.4%
|
|
| BUGIRI | 61 |
1.1%
|
|
| BUHWEJU | 22 |
0.4%
|
|
| BUIKWE | 78 |
1.4%
|
|
| BUKEDEA | 39 |
0.7%
|
|
| BUKOMANSIMBI | 21 |
0.4%
|
|
| BUKWO | 31 |
0.6%
|
|
| BULAMBULI | 31 |
0.6%
|
|
| BULIISA | 22 |
0.4%
|
|
| BUNDIBUGYO | 24 |
0.4%
|
|
| BUSHENYI | 42 |
0.8%
|
|
| BUSIA | 54 |
1%
|
|
| BUTALEJA | 27 |
0.5%
|
|
| BUYENDE | 49 |
0.9%
|
|
| DOKOLO | 22 |
0.4%
|
|
| GOMBA | 41 |
0.7%
|
|
| GULU | 94 |
1.7%
|
|
| HOIMA | 85 |
1.5%
|
|
| IBANDA | 59 |
1.1%
|
|
| IGANGA | 96 |
1.7%
|
|
| ISINGIRO | 87 |
1.6%
|
|
| JINJA | 91 |
1.6%
|
|
| KAABONG | 27 |
0.5%
|
|
| KABALE | 71 |
1.3%
|
|
| KABAROLE | 111 |
2%
|
|
| KABERAMAIDO | 39 |
0.7%
|
|
| KALANGALA | 18 |
0.3%
|
|
| KALIRO | 26 |
0.5%
|
|
| KALUNGU | 43 |
0.8%
|
|
| KAMULI | 87 |
1.6%
|
|
| KAMWENGE | 47 |
0.9%
|
|
| KANUNGU | 48 |
0.9%
|
|
| KASESE | 140 |
2.5%
|
|
| KATAKWI | 31 |
0.6%
|
|
| KAYUNGA | 59 |
1.1%
|
|
| KIBAALE | 185 |
3.4%
|
|
| KIBOGA | 23 |
0.4%
|
|
| KIBUKU | 33 |
0.6%
|
|
| KIRUHURA | 73 |
1.3%
|
|
| KIRYANDONGO | 57 |
1%
|
|
| KISORO | 45 |
0.8%
|
|
| KITGUM | 25 |
0.5%
|
|
| KOBOKO | 34 |
0.6%
|
|
| KOLE | 19 |
0.3%
|
|
| KOTIDO | 28 |
0.5%
|
|
| KUMI | 38 |
0.7%
|
|
| KWEEN | 38 |
0.7%
|
|
| KYANKWANZI | 21 |
0.4%
|
|
| KYEGEGWA | 27 |
0.5%
|
|
| KYENJOJO | 84 |
1.5%
|
|
| LAMWO | 31 |
0.6%
|
|
| LIRA | 47 |
0.9%
|
|
| LUUKA | 25 |
0.5%
|
|
| LUWERO | 99 |
1.8%
|
|
| LWENGO | 53 |
1%
|
|
| LYANTONDE | 24 |
0.4%
|
|
| MANAFWA | 61 |
1.1%
|
|
| MARACHA | 33 |
0.6%
|
|
| MASAKA | 42 |
0.8%
|
|
| MASINDI | 56 |
1%
|
|
| MAYUGE | 74 |
1.3%
|
|
| MBALE | 102 |
1.8%
|
|
| MBARARA | 74 |
1.3%
|
|
| MITOOMA | 21 |
0.4%
|
|
| MITYANA | 49 |
0.9%
|
|
| MOYO | 29 |
0.5%
|
|
| MPIGI | 36 |
0.7%
|
|
| MUBENDE | 130 |
2.4%
|
|
| MUKONO | 88 |
1.6%
|
|
| NAKAPIRIPIRIT | 30 |
0.5%
|
|
| NAKASEKE | 51 |
0.9%
|
|
| NAMAYINGO | 31 |
0.6%
|
|
| NAMUTUMBA | 26 |
0.5%
|
|
| NAPAK | 26 |
0.5%
|
|
| NEBBI | 89 |
1.6%
|
|
| NGORA | 44 |
0.8%
|
|
| NTUNGAMO | 84 |
1.5%
|
|
| NWOYA | 27 |
0.5%
|
|
| OYAM | 65 |
1.2%
|
|
| PADER | 31 |
0.6%
|
|
| PALLISA | 72 |
1.3%
|
|
| RAKAI | 70 |
1.3%
|
|
| RUBIRIZI | 21 |
0.4%
|
|
| RUKUNGIRI | 49 |
0.9%
|
|
| SERERE | 36 |
0.7%
|
|
| SHEEMA | 29 |
0.5%
|
|
| SIRONKO | 45 |
0.8%
|
|
| SOROTI | 93 |
1.7%
|
|
| SSEMBABULE | 20 |
0.4%
|
|
| TORORO | 131 |
2.4%
|
|
| WAKISO | 259 |
4.7%
|
|
| YUMBE | 63 |
1.1%
|
|
| ZOMBO | 21 |
0.4%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.